Collaborative Engineering Research Articles

MENGEFEKTIFKAN PENGELOLAAN ASET DAERAH MELALUI PEMBELAJARAN ORGANISASIONAL: Mediasi Job Crafting sebagai Faktor Kunci

This study aims to explore the role of organizational learning and job crafting in enhancing the effectiveness of asset management in South Konawe Regency. The primary issue addressed is the low effectiveness in asset management aspects, such as planning, procurement, utilization, assessment, and administration. This research examines how individuals, through job crafting, can improve asset management performance and support more effective organizational learning. Data were collected through in-depth interviews, document studies, and observations at the Regional Financial and Asset Management Agency, as well as related agencies such as the Education and Health Offices. The findings indicate that limited organizational learning and a lack of policies supporting collaboration and the use of technology hinder asset management effectiveness. Job crafting, focusing on task crafting, relational crafting, and cognitive crafting, can improve collaboration and enhance employees' understanding of their contributions to organizational goals. This study suggests that policies should better support team-based learning, technology, and cross-unit collaboration. Leadership must also promote job crafting implementation to boost employee motivation and commitment to more efficient asset management. This research is expected to provide a foundation for better policies and encourage more efficient and sustainable asset management practices in the future.

Pendekatan Manajemen Modern Strategi Efektif untuk Meningkatkan Produktivitas Tim

This research discusses effective strategies for increasing team productivity through modern management approaches. In an increasingly complex and dynamic era, organizations are faced with the challenge of maximizing team performance to remain competitive. This research identifies various management methods that can be applied to create a more productive and collaborative work environment. Through case studies and literature analysis, we explore techniques such as open communication, efficient time management, and the application of digital technologies in team collaboration. The research results show that an inclusive and adaptive management approach contributes significantly to increasing team member motivation and engagement. Methods such as Agile and a results-based approach have been proven to significantly increase productivity and job satisfaction. By involving team members in the decision-making process and providing constructive feedback, organizations can build a positive and innovative work culture. This not only encourages creativity, but also creates a sense of belonging among employees. This research concludes that modern management strategies that focus on collaboration, effective communication and the use of technology can be the key to increasing team productivity. It is hoped that these findings can provide guidance for organizational leaders in formulating managerial policies that are more effective and responsive to team needs in the future. This research also invites further discussion about the importance of management adaptation in facing changing work dynamics and evolving challenges.

Empowering Communities and Enhancing Public Safety: Stakeholders' Perspectives on Opioid Overdose Prevention Strategies in Boston.

The opioid crisis in Boston necessitated multifaceted prevention strategies. This qualitative descriptive study engaged stakeholders' perspectives to explore the role of community empowerment and educational strategies in opioid overdose prevention. Fifteen officials from law enforcement, healthcare, policy, and community organizations participated in semi-structured interviews conducted from January to March 2024. Thematic analysis using Braun and Clarke's approach, facilitated by MAXQDA software, revealed three themes: Perceived Role of Community Empowerment in Opioid Overdose Prevention, highlighting the importance of local leadership, personal recovery, and grassroots initiatives; Effectiveness of Educational Strategies in Opioid Overdose Prevention, focusing on awareness, harm reduction, and bridging gaps post-incarceration; and Challenges and Innovations in Empowering Communities and Enhancing Public Safety, emphasizing the integration of law enforcement with technological solutions and community collaboration. The study underscores the importance of integrating public health approaches with enhanced law enforcement strategies and community-driven solutions to balance immediate intervention with long-term community resilience.

Maritime Cooperation Between Indonesia and South Korea: Analysis of MTCRC (Marine Technology Cooperation Research Centre)

Indonesia is the largest archipelago with abundant marine resources. To manage this optimally, Indonesia needs to cooperate with other countries to optimise it. The main focus of this study is the Marine Technology Cooperation Research Centre (MTCRC), a collaborative marine science and technology research establishment managed by the Korea Institute of Ocean Science and Technology (KIOST) and the Bandung Institute of Technology (ITB) between both the governments of South Korea and Indonesia. This research aims to analyse the functioning of Indonesia’s maritime cooperation with South Korea. The data collection method through library research and the theory of international cooperation are used to analyse this research. This study's results show that the maritime technology collaboration between South Korea and Indonesia research centres has built and implemented programs to support marine science and technology cooperation.

Stress calculation and strength verification of desulfurization and denitrification tower based on carbon-based catalytic multi-pollutant control technology

The desulfurization and denitrification tower is the core equipment of the carbon-based catalytic multi-pollutant collaborative control technology. Its design strength ensures the pollutant removal effect and stable operation of the system. This paper used ANSYS finite element analysis software to establish a three-dimensional model of the tower and divided it into high-precision grids. Combined with actual load analysis, calculation and working condition combination, the deformation and stress distribution nephogram of the tower and the membrane stress and bending stress of each component were calculated. The strength check and stress assessment were carried out. When the calculation error is ignored, the overall design strength of the tower meets the requirements, but the stress of the local reinforced beams exceeds the limit. It is recommended to replace the steel with a higher allowable stress value.

Evaluasi Program Pemberdayaan Lembaga Kemasyaratan dalam Peningkatan Teknologi Tepat Guna pada Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Malinau, Provinsi Kalimantan Utara

The purpose of this study is to analyze and identify community empowerment programs in improving appropriate technology at the Malinau Regency Community and Village Empowerment Office using the CIPP (Context, Input, Process, and Product) method. The method used uses a qualitative method with a survey design and in-depth interviews. Data was collected through interviews with resource persons of the head of the office, secretary, head of the field, staff of the empowerment office and the community. The results of data analysis show that the CIPP evaluation of the community empowerment program through appropriate technology in Malinau Regency shows effectiveness in increasing community independence and productivity despite various challenges. The input evaluation indicates the need for transparent management of funds and resources, active participation, and the use of technology that is appropriate to local conditions. In terms of process, program implementation adhered to SOPs, increased community safety and satisfaction, and training was effective in enhancing skills. The product evaluation showed that the program succeeded in increasing the capacity and independence of the institution and had a positive impact on community welfare. Challenges include limited access to technology, resources, and lack of training and collaboration, but enabling factors such as government support, planning, and distribution of tools remain key strengths in implementation.

Empowering value co-creation: Product and technology development in power asymmetric buyer-supplier relationships from the perspective of a weaker supplier

This research explores value co-creation practices for product and technology development within power asymmetric buyer-supplier relationships in their early stages. In terms of value co-creation practices, we focus on how buyers and suppliers contribute to benefits and impact costs, whereas for power, we focus on their influence on distribution of costs and benefits within the relationship. Through a qualitative study, we analyse 18 buyer-supplier dyads, each featuring a collaborative product and technology development process between a less powerful supplier and an influential buyer. The findings reveal that these co-creation practices served as a platform for mutual learning and knowledge creation, which provided the suppliers with a reinforced capacity to generate benefits for the buyers and mitigate the power asymmetry. To conclude, we put forward a framework along with a set of propositions designed to inspire further research on assessing supplier opportunities when navigating power asymmetric product and technology development relationships.

Integrating 2D and 3D in Game Development: Design and Technology Collaboration

With the ongoing progress in game development technology, the combination of 2D and 3D techniques has become an emerging and exciting trend. In this context, game design must not only focus on visual effects but also enhance the overall gaming experience. This paper examines how 2D and 3D technologies are used together in game design and how this mix helps improve visuals and gaming experiences. Through case studies, the paper discusses the benefits and challenges of 2.5D technology and the technical difficulties that come with using 2D and 3D technologies on different platforms. The research shows that 2.5D technology solves the problem of needing more space and depth in 2D by adding 3D elements to 2D images. This gives game developers more freedom in their designs and helps them be more creative. The paper provides strategies and tips for game developers to apply these technologies, allowing them to compete better in the fast-growing global game market.

Analysis of Digital Banking Product Marketing Strategies in Enhancing Business Performance (Case Study at Bank BJB)

This study investigates the marketing strategies of digital banking products at Bank BJB, aiming to enhance business performance amid increasing competition in Indonesia's banking sector. The introduction outlines the significant transformation in the banking industry due to the rise of digital banking and fintech, emphasizing the necessity for banks to innovate to attract tech-savvy customers, particularly millennials and Generation Z. The research method employed a qualitative approach, utilizing in-depth interviews and document analysis to assess the effectiveness of Bank BJB's marketing strategies, particularly through its BJB Digi application. Results indicate that while Bank BJB has leveraged regional partnerships and diversified its digital services, it faces challenges such as suboptimal user experience and limited market penetration outside its core areas. The discussion highlights the need for improved marketing strategies to enhance customer engagement and business performance. In conclusion, the study recommends that Bank BJB focus on technological innovation, strategic collaborations, and aggressive marketing efforts to strengthen its competitive position in the digital banking landscape, thereby optimizing its service offerings andexpanding its customer base

Benchmarking performance: A round-robin testing for liquid alkaline electrolysis

Liquid alkaline water electrolysis has gained considerable interest in recent years due to its promising role in an energy sector based on renewable energy sources. Its main advantage is the low investment cost of industrial alkaline water electrolyzers compared to other electrolysis technologies. A challenge remains in developing cost-efficient materials, stable in corrosive electrolytes, and offering competitive cell performance. Although there are many publications in liquid alkaline electrolysis, there is insufficient standardization of experimental conditions and procedures, reference materials, and hardware. As a result, comparability and reproducibility suffer, significantly slowing down research progress. This manuscript presents the initial efforts towards the development of such reference hardware and procedures within the framework of Task 30 Electrolysis in the Technology Collaboration Programme on Advanced Fuel Cells (AFC TCP) of the International Energy Agency (IEA). For this purpose, a homogenized setup including the electrolysis cell, functional materials, experimental conditions, and a test protocol was developed. The protocol and hardware were tested simultaneously at eleven different institutions in Europe and North America. To evaluate the success of this approach, polarization and run-in data were collected and analyzed for comparison, and performance differences were calculated. Significant disparities between the laboratories were observed and some key influence factors were identified: iron content in the electrolyte resulted to be a main source of deviation between experiments, along with temperature control and the conditioning of the cells. The results suggest that additional attention to detailed experimental conditions should be paid to obtain meaningful performance data in future research.

The impact of mobile social media on knowledge sharing among vocational school teachers: A social cognitive career perspective

In the rapidly evolving field of information systems, the role of mobile-based social media as a platform for knowledge sharing among vocational schoolteachers presents both opportunities and challenges. This study addresses a critical gap in the understanding of how psychological factors (such as self-efficacy) and contextual factors (such as trust environments) influence knowledge-sharing behaviours in information systems. This study includes 332 vocational schoolteachers and employs structural equation modelling to examine how psychological and contextual factors enhance or inhibit sharing intentions. The results revealed that psychological factors significantly impact sharing intentions, whereas contextual factors bolster self-efficacy and behaviours. The findings offer valuable insights into the optimisation of information systems environments to facilitate effective knowledge sharing, thereby contributing to enhanced collaborative practices and technology adoption in educational settings. This research underscores the need to integrate social cognitive career theory into information systems to better understand the complex dynamics of knowledge sharing on mobile platforms.

Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration

Achieving Employees’ Agile Response in E-Governance: Exploring the Synergy of Technology and Group Collaboration

Research on autonomous driving technology in intelligent transportation systems

Abstract. The convergence of scientific and technological advancement with the acceleration of urbanization has resulted in a notable intensification of the issue of traffic congestion. In this context, the development of autonomous driving technology has emerged as a pivotal area of focus for future transportation systems. Therefore, this paper presents a review of the current status of automatic driving technology in intelligent transportation systems, based on methods such as literature, data analysis and case studies. Furthermore, it delves into the evolution, applications, challenges and solutions of automated driving technologies in intelligent transport systems, and presents forward-thinking insights into the future development of intelligent transportation. As autonomous driving technology continues to evolve, the integration of deep reinforcement learning and other advanced technologies will facilitate the advancement of intelligent vehicle human-machine collaborative decision-making technology. It is imperative that the construction technology of safety-critical scenarios be reinforced in order to enhance the interpretability of algorithmic models and the real-time nature of scenario generation. All parties need to collaborate to promote the innovation and improvement of autonomous driving technology, achieve widespread application and sustainable development, and create a better travelling environment.

Family Resilience in Care Coordination Technologies: Designing for Families as Adaptive Systems

When a child is admitted to the hospital with a critical illness, their family must adapt and manage care and stress. CSCW researchers have shown the potential for collaborative technologies to support and augment care collaboration between patients and caregivers. However, as a field CSCW lacks a holistic, theory-driven understanding of how collaborative technologies might best augment and support the family caregiving circle as a socio-technical system. In this paper, we report findings from interviews with 14 parents of children with cancer admitted for extended hospitalizations. We use the resilience-based Family Adaptive Systems framework from family therapy as a lens to characterize their challenges and practices across four key subsystems: Emotion, Control, Meaning, and Maintenance. Then, we introduce a fifth system-the Information system-and draw on our empirical findings to suggest theory-driven opportunities for designing future collaborative technology to augment collaborative caregiving and enhance family resilience.

Race and Privacy in Broadcast Police Communications

Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, little prior research has examined their usage or their connections to individual privacy and the role of race in policing, two growing topics of concern in the US. As a case study, we examine the Chicago Police Department's (CPD's) use of broadcast police communications (BPC) to coordinate the activity of law enforcement officers (LEOs) in the city. From a recently assembled archive of 80,775 hours of BPC associated with CPD operations, we analyze human-generated text transcripts of radio transmissions broadcast 9:00 AM to 5:00 PM on August 10th, 2018 in one majority Black, one majority White, and one majority Hispanic area of the city (24 hours of audio) to explore four research questions: (1) Do BPC reflect reported racial disparities in policing? (2) How and when is gender, race/ethnicity, and age mentioned in BPC? (3) To what extent do BPC include sensitive information, and who is put at most risk by this practice? (4) To what extent can large language models (LLMs) heighten this risk? We explore the vocabulary and speech acts used by police in BPC, comparing mentions of personal characteristics to local demographics, the personal information shared over BPC, and the privacy concerns that it poses. Analysis indicates (a) policing professionals in the city of Chicago exhibit disproportionate attention to Black members of the public regardless of context, (b) sociodemographic characteristics like gender, race/ethnicity, and age are primarily mentioned in BPC about event information, and (c) disproportionate attention introduces disproportionate privacy risks for Black members of the public. This study shows BPC can provide a novel window into disproportionate attention (i.e., via radio communications) by law enforcement officers to specific racial groups, leading to increased privacy vulnerability for those groups, particularly Black males.

Designing Collaborative Technology for Intergenerational Social Play over Distance

Collaborative play not only provides entertainment but also nurtures connections and strengthens community ties. In family and intergenerational contexts, collaborative activities and play can engage family members in quality conversations and meaningful connections over distance. To explore participants' preferences, practices, and interaction dynamics when playing remotely, we conducted a design probe study with 15 groups of parents and children from 16 families. Our findings highlight both similarities and notable differences in the use of communication methods, workspaces, and objects between parents and children. Specifically, we observed distinct patterns in gestural and verbal communication and identified specific challenges encountered by children in a simulated remote setting. Our findings also revealed the dynamics of play sessions, particularly when co-located participants are involved, shedding light on the complexities of remote intergenerational communication and play. Our work contributes empirical insights into designing more effective and engaging remote collaborative platforms for families.

Mobile brain imaging in butoh dancers: from rehearsals to public performance

BackgroundDissecting the neurobiology of dance would shed light on a complex, yet ubiquitous, form of human communication. In this experiment, we sought to study, via mobile electroencephalography (EEG), the brain activity of five experienced dancers while dancing butoh, a postmodern dance that originated in Japan.ResultsWe report the experimental design, methods, and practical execution of a highly interdisciplinary project that required the collaboration of dancers, engineers, neuroscientists, musicians, and multimedia artists, among others. We explain in detail how we technically validated all our EEG procedures (e.g., via impedance value monitoring) and minimized potential artifacts in our recordings (e.g., via electrooculography and inertial measurement units). We also describe the engineering details and hardware that enabled us to achieve synchronization between signals recorded at different sampling frequencies, along with a signal preprocessing and denoising pipeline that we used for data re-sampling and power line noise removal. As our experiment culminated in a live performance, where we generated a real-time visualization of the dancers’ interbrain synchrony on a screen via an artistic brain-computer interface, we outline all the methodology (e.g., filtering, time-windows, equation) we used for online bispectrum estimations. Additionally, we provide access to all the raw EEG data and codes we used in our recordings. We, lastly, discuss how we envision that the data could be used to address several hypotheses, such as that of interbrain synchrony or the motor theory of vocal learning.ConclusionsBeing, to our knowledge, the first study to report synchronous and simultaneous recording from five dancers, we expect that our findings will inform future art-science collaborations, as well as dance-movement therapies.

Industrial Metaverse-Based Intelligent PID Optimal Tuning System for Complex Industrial Processes.

In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is proposed. This method combines the digital twin model of the PID control process based on system identification and adaptive deep learning and the PID tuning intelligent algorithm based on reinforcement learning with virtual reality and immersive interaction of industrial metaverse. An industrial metaverse-based intelligent PID tuning system is proposed by combining the above method with the end-edge-cloud collaboration technology of Industrial Internet. The challenging problem that the actual operating PID control system in complex industrial processes cannot be optimized online is solved. Using the energy-intensive equipment, the fused magnesium furnace, as an industrial object, we conducted comparative simulation experiments between the proposed control method and several advanced control methods, as well as industrial experiments for the proposed intelligent system. Simulation experiments demonstrate the effectiveness of the proposed control method. The industrial experimental results indicate that the performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes can be realized, which achieves excellent control effects.

How does network intermediary affect collaborative innovation? Evidence from Chinese listed companies

Abstract Purpose This study aims to explore how network intermediaries influence collaborative innovation performance within inter-organizational technological collaboration networks. Design/methodology/approach This study employs a mixed-method approach, combining quantitative social network analysis with regression techniques to investigate the role of network intermediaries in collaborative innovation performance. Using a patent dataset of Chinese industrial enterprises, the research constructs the collaboration networks and analyzes their structural positions, particularly focusing on their role as intermediaries, characterized by betweenness centrality. Negative binomial regression analysis is employed to assess how these network characteristics shape innovation outcomes. Findings The study reveals that firms in intermediary positions enhance collaborative innovation performance, but this effect is nuanced. A key finding is that network clustering negatively moderates the intermediary-innovation relationship. Highly clustered networks, while fostering local collaboration, may limit the innovation potential of intermediaries. On the other hand, relationship strength, measured by collaboration intensity and trust among firms, positively moderates the intermediary-innovation link. Research limitations This study has several limitations that present opportunities for further research. The reliance on quantitative social network analysis may overlook the complexity of intermediaries’ roles, and future studies could benefit from incorporating qualitative methods to better understand cultural and institutional factors. Additionally, cross-country comparisons are needed to assess the consistency of these dynamics in different contexts. Practical implications The study offers practical insights for firms and policymakers. Organizations should strategically position themselves as network intermediaries to access diverse information and resources, thereby improving innovation performance. Building strong trust helps using network intermediary advantages. For firms in highly clustered networks, it is important to seek external partners to avoid limiting their exposure to new ideas and technologies. This research emphasizes the need to balance network diversity with relationship strength for sustained innovation. Originality/value This research contributes to the literature by offering new insights into the role of network intermediaries, presenting a comprehensive framework for understanding the interaction between network dynamics and firm innovation.

Inisiasi Pengolahan Air Embung dengan Teknologi Multimedia Filter (MMF) sebagai Solusi Air Bersih di Kabupaten Bojonegoro

Clean water and proper sanitation are fundamental human needs. Nganti Village, located in Ngraho Subdistrict, Bojonegoro Regency, faces significant drought and clean water shortages, particularly during the dry season. The water quality remains subpar despite the presence of springs and water reservoirs. Consequently, processing raw water from the village's reservoir can offer a viable solution. This service activity aims to harness water reservoirs as a clean water source through multimedia filter (MMF) technology. The activities, conducted from 2022 to the end of 2023, encompass four stages: socializing the program plans, constructing multimedia filters (MMF), installing the water treatment unit on-site, and evaluating water quality, followed by necessary follow-ups. The primary activities involve installing water treatment units with MMF technology in collaboration with village officials and the community. The treated water is then tested for quality at the IPB University laboratory. Test results indicate that MMF technology significantly improves water quality, reducing parameters such as Magnesium, Manganese, Calcium, Iron, and Phosphate by 25.8‒97.8%, thus meeting quality standards. However, some parameters, such as TSS, COD, and Zinc, still exceed quality standards, necessitating further processing. This advanced water treatment requires involvement from the local government, particularly in funding through community empowerment programs, to install advanced treatment units and provide operational support for these units.